1533 results about "Rice grain" patented technology

A batch feeding-based multi-stage screening device for granular materials, comprising a housing (1). A quantification assembly (2) is installed at the top of the housing (1), a dust removal assembly (3) is installed outside the housing (1), and an anti-blocking assembly (6) is installed inside the housing (1); the dust removal assembly (3) comprises a mounting plate (305) and a fixed column (304); the mounting plate (305) and the fixed column (304) are both fixedly connected to the outside of the housing (1), a rack plate (306) is slidably connected to the outer surface of the mounting plate (305), a movable rod (311) is fixedly connected to the bottom end of the rack plate (306), a rubber piston (312) is fixedly connected to the bottom end of the movable rod (311), and a filter box (301) is fixedly connected to the outside of the housing (1). A large amount of dust on the surface of rice grains can be adsorbed, filtered and removed by means of the dust removal assembly, thereby improving the quality of rice.

The invention relates to the technical field of polished rice rate detection, in particular to a rice quality index whole-process detection method and device, and the method comprises the following steps: carrying out the image recognition of each detection link according to the rice quality index detection whole process, and carrying out the image recognition of each detection link according to the image collected by each link; and respectively calculating an effective feeding grain index, an imperfect grain ratio index, a rice grain quality classification result, a head rice rate index and a yellow grain ratio. The position and form of each rice grain are recognized through high-precision image processing, effective feeding grain indexes input into a rice hulling chamber are screened, infrared transmission intensity detection of brown rice directly reflects the structural characteristics of the rice grains, the real-time quality evaluation method optimizes the conversion process from the brown rice to polished rice, optimization of the rice quality and yield is ensured, and the quality of the rice grains is improved. The real-time monitoring on the surface brightness and texture change in the milling process is beneficial to adjusting the milling process, the product quality is optimized through dynamic data analysis, and the appearance uniformity is improved.

The invention discloses an intelligent control method, device and equipment for a rice mill and a storage medium, and relates to the technical field of grain processing.The method comprises the steps that a digital twinning system of the rice mill is constructed, the digital twinning system comprises a physical layer, a virtual layer and an intelligent service layer, and the virtual layer comprises a simulation model based on abrasive belt-rice grain contact dynamics; acquiring operation data of the rice mill through a physical layer, and performing space-time alignment on the operation data and the simulation model to obtain target data; predicting the change trend of the broken rice rate in the rice milling process based on the target data and the simulation model, and generating an initial parameter combination of the abrasive belt pressure, the rotating speed and the gap of the whitening chamber; iteratively updating the initial parameter combination through a reinforcement learning algorithm of an intelligent service layer to obtain a target parameter combination; and adjusting an execution mechanism of the rice mill according to the target parameter combination to complete intelligent control of the rice mill. According to the rice milling device, the broken rice rate in the rice milling process can be reduced, and intelligent control is achieved.

The invention relates to the technical field of screening, in particular to a dynamic sorting method and system based on multistage screening and airflow compensation. The method comprises the steps that 1, space phase screening pretreatment is conducted, specifically, in a rotary type multidirectional screening channel, white rice is made to rotate through a flow guide structure, the included angle between the long axis direction of rice grains and the long edge of a screening hole is obtained in real time, and the rotating angular speed of a screen is dynamically adjusted according to the included angle; 2, mass-airflow coupling sorting is carried out; step 3, performing deformation feedback optical sorting; 4, energy field cooperative control; and 5, dynamic convergence optimization: collecting a screen mesh pore passing rate, a rice grain group distribution entropy value and system total energy consumption power, constructing a state space, and adjusting vibration frequency, airflow pressure and light intensity parameters by adopting a stability judgment algorithm. According to the method, the screening precision is improved, the energy consumption is reduced, the production efficiency is improved, and the method has remarkable practical application value for the grain processing industry.

The invention discloses an intelligent fish and rice symbiosis ecological control system and method based on the Internet of Things. The system comprises a fish breeding area, a rice irrigation area and a circulating water channel arranged between the fish breeding area and the rice irrigation area. The central control platform is used for collecting a dissolved oxygen (DO) value and a pH value in a water body in real time through a plurality of water quality sensors configured in the system; the dissolved oxygen DO value and the pH value are water quality data; and analyzing the dissolved oxygen DO value, generating a water quality regulation and control instruction, and regulating the oxygenation equipment according to the water quality regulation and control instruction. The automatic buffering agent adding device is used for automatically adding a buffering agent according to an instruction sent by the central control platform; the oxygenation equipment comprises an aeration device and is used for adjusting the content of dissolved oxygen in the water body. According to the intelligent fish and rice symbiosis ecological control system based on the Internet of Things, the fish culture area, the rice irrigation area and the circulating water channel are integrated, effective management and control of the fish and rice symbiosis ecological system are achieved, the water body environment is optimized, and the symbiosis benefits of fishes and rice are improved.

The invention provides a rice endophyte for promoting rice growth and reducing cadmium as well as a preparation method and application of the rice endophyte, and relates to the field of environmental microbiology and agricultural microorganisms. The rice endophyte is stenotrophomonas, is named as Stentrophomonas sp.R5, is preserved in the China Center for Type Culture Collection, the address is Wuhan University, Wuhan, China, the postcode is 430072, the preservation number is CCTCC NO: M 20231758, and the preservation date is September 20, 2023. The rice endophyte not only has the capabilities of producing IAA, dissolving phosphorus, producing siderophores and the like for promoting the growth and development of rice, but also has an efficient inhibition effect on absorption and transportation of cadmium in the rice, particularly, the cadmium reduction amplitude of mature rice grains reaches up to 57.69%, and the rice endophyte has little influence on microbial communities in a soil environment, and has a good application prospect. Excessive interference is not caused, and conversion of available nutrients in the soil is promoted.

The invention relates to the technical field of rice grain detection, in particular to a rice grain mixed-planting rapid nondestructive detection method based on hyperspectral imaging, which comprises the following steps: S1, collecting a rice hundred-grain board hyperspectral image, carrying out preprocessing and region-of-interest segmentation, and extracting a full-wave band spectrum grayscale image of a target region; s2, constructing a multi-channel attention mechanism network model suitable for nondestructive testing of mixed rice grains, and inputting the full-wave band spectrum grayscale image as a data set for classification training; according to the rapid nondestructive testing method for mixed planting of the rice grains based on hyperspectral imaging, spectrum and spatial characteristics of the rice grains are fused, spectrum and spatial characteristic information of the rice grains is enhanced through a multi-channel attention mechanism and a self-attention mechanism module, the classification precision of the rice grains is further helped to be improved, and the detection accuracy of the mixed planting of the rice grains is improved. According to the multi-channel attention mechanism network model provided by the invention, a segmentation module and a classification module are fused, so that the parameter quantity during high-resolution image training can be reduced.

The invention belongs to the field of gene engineering, and relates to a rice BRW1 gene and application thereof. The cDNA (complementary deoxyribonucleic acid) sequence of the rice BRW1 gene is shown as SEQ ID NO.1, and the amino acid sequence of the RNA binding protein coded by the rice BRW1 gene is shown as SEQ ID NO.2. The invention discloses the rice RNA binding protein gene BRW1 and the protein coded by the rice RNA binding protein gene BRW1. The rice BRW1 gene controls the grain weight of grains, the thousand grain weight of a knockout mutant of the gene is remarkably increased, and meanwhile the grain length and the grain width are increased. By mutating the BRW1 gene in the invention, the grain weight of rice grains can be increased, which indicates that the genetic improvement of the grain weight and grain shape of rice is facilitated by using the gene.

The invention relates to the technical field of rice quality detection, in particular to a head rice rate online detection method and system based on machine vision, and the method comprises the steps: obtaining an initial binary image of a rice image; intelligently screening a rice grain adhesion region in the initial binarized image by using a BP neural network to obtain a to-be-segmented binarized image; segmenting each rice grain adhesion region in the to-be-segmented binary image by using a multi-distance transformation watershed segmentation method to obtain a first segmentation result image; segmenting a rice grain adhesion area in the first segmentation result image by using an angle limitation concave point matching segmentation method to obtain a second segmentation result image as a final segmentation result image; and obtaining the length of each rice grain in the rice image on the basis of the obtained segmentation result image by using a minimum bounding rectangle method so as to calculate the head rice rate of the rice image. According to the method, the segmentation accuracy is improved, the segmentation method is high in applicability, and subsequent measurement of characteristic parameters of single-grain rice is facilitated.

The invention belongs to the technical field of plant breeding and biology, and particularly relates to how to reduce the cadmium content of rice grains through a gene OsCT1 and application of the gene OsCT1 to creation of new germplasm of low-cadmium-accumulation rice. The invention discloses a nucleotide sequence of a gene OsCT1 coding region, a coded protein sequence, a CRISPR-Cas9 knockout target site nucleotide sequence, a nucleotide sequence of a knockout mutant and a protein sequence of the knockout mutant, as shown in an ST.26 standard sequence nucleotide or amino acid sequence table. After the gene OsCT1 is knocked out by utilizing a CRISPR-Cas9 technology, the cadmium content of grains of the OsCT1-knocked-out transgenic plant is obviously lower than that of a wild type variety. In addition, in the seedling stage, the plant height and the root length of the OsCT1-knocked-out transgenic plant are remarkably larger than those of a wild type variety; after the OsCT1 gene is subjected to overexpression, the grain cadmium content of an overexpressed transgenic plant is slightly higher than that of a wild type variety. In addition, in the seedling stage, the plant height and the root length of the overexpressed OsCT1 transgenic plant are obviously smaller than those of a wild type variety. According to the invention, the OsCT1 gene can be utilized to create a novel rice germplasm with low cadmium content in grains.

The invention discloses a processing method for reducing the broken rice rate of commercial rice, which comprises the following steps: S1, an unhulled rice pretreatment stage: S1a, a multi-stage linkage impurity removal process is adopted, and large impurities, light impurities, metal impurities and stones in unhulled rice are removed through combination of classified screening, airflow separation, magnetic separation and specific gravity stone removal, so that the impurity removal rate is greater than or equal to 99%; s1b, on the basis of a dynamic adaptation model of rice physical characteristics and rice hulling parameters, rice moisture and hardness data are collected in real time through a first detection device, the rice hulling flow and the inter-roller pressure are calculated and adjusted through a control unit, and closed-loop control is achieved; s2, carrying out a color sorting and polishing stage; s3, carrying out a rice milling regulation and control stage; and S4, entering a vacuum packaging stage.

The invention relates to the technical field of gene engineering, and discloses an METS2 gene for regulating and controlling the grain shape of rice, a protein and application of the METS2 gene, and the nucleotide sequence of the METS2 gene is shown as SEQ ID NO.1. The invention further discloses application of the METS2 gene in regulation and control of the rice grain shape. According to the METS2 gene for regulating and controlling the rice grain shape, the protein and the application of the METS2 gene, the METS2 gene is overexpressed in a rice plant, short-grain-shaped rice can be obtained, the short-grain-shaped rice is not prone to breakage in the processing process, and the quality of a finished product is high; a basis is provided for further clarification of the molecular mechanism of the rice grain shape, and new gene resources and breeding resources are provided for rice breeding.

The invention provides a screening device for rice processing, and relates to the technical field of rice processing equipment. The upper end of the side wall of one end of the screening machine box is of an outwards-protruding structure, the top of the outwards-protruding part is provided with an unhulled rice feeding port with the wide upper portion and the narrow lower portion, the unhulled rice feeding port communicates with an inner cavity of the screening machine box, and a horizontal stock bin supporting plate is fixedly arranged in the inner cavity, below the unhulled rice feeding port, of the screening machine box. A separating tongue plate is arranged at the edge of the inner end of the stock bin supporting plate, and a hinged shaft is arranged at the end, close to the stock bin supporting plate, of the separating tongue plate and rotationally connected into the screening machine box; and a feeding shaft is transversely and rotationally mounted at the position, deviating to the separating tongue plate, above the stock bin supporting plate. The rice is easily added into the screening machine box through the rice adding opening and falls on the stock bin supporting plate. After the motor is started, the feeding shaft rotates, and the feeding chute on the feeding wheel picks up the rice from the stock bin supporting plate and stably conveys the rice forwards along the inclined surface. By means of the design, uniform conveying of the rice is guaranteed, and the screening efficiency is greatly improved.

The present invention discloses a heated instant reconstituted bamboo shoot rice, and relates to the technical field of food processing, and the heated instant reconstituted bamboo shoot rice comprises the following components in parts by weight: 42-46 parts of coarse rice powder, 38-42 parts of rice powder, 14-16 parts of bamboo shoot powder, 33-36 parts of fresh bamboo shoot sauce, and 0.6-0.7 part of monostearin. The preparation method comprises the following steps: respectively removing impurities from the dried bamboo shoots, the crushed brown rice and the crushed rice, crushing and sieving to obtain bamboo shoot powder, brown rice powder and rice powder; preparing fresh bamboo shoot sauce; weighing the brown rice flour, the rice flour, the bamboo shoot powder, the fresh bamboo shoot sauce and the monostearin according to the proportion, and uniformly stirring and mixing to obtain a loose and wet powdery mixed material; putting the mixed material into a nine-section twin-screw extruder, and extruding and curing step by step; extruding the cured mixed material into rice grains from a die hole by adjusting the rotating speed of a rotary cutter of an extruding machine; and drying the formed rice grains to obtain the regenerated bamboo shoot rice product. The prepared instant heated reconstituted bamboo shoot rice integrates the nutritional ingredients of the brown rice, the rice and the bamboo shoots, the cost performance is high, and the utilization rate and the additional value of the bamboo shoot raw materials, the brown rice and the crushed rice are increased.

The invention relates to a phase perception residual learning-based rice drying moisture content fusion prediction method, which comprises the following steps of: acquiring multi-dimensional data in a rice drying process, preprocessing, dividing three drying phases based on a change rate of relative humidity of waste gas, and continuously optimizing; an improved Page model is constructed, drying coefficients k and n are fitted in stages, k is associated with the hot air temperature through an Arrhenius formula, n is associated with the hot air temperature through a quadratic equation, and a physical baseline predicted value is generated after parameters are optimized through a deep bed test; calculating a residual error between the actual moisture content and the physical baseline, and training the LSTM network by taking the residual error as a target to enable the LSTM network to learn nonlinear features which cannot be described by a physical model; and fusing the physical baseline of the improved Page model and the residual error predicted by the LSTM to obtain a final fusion prediction result. The method not only ensures the physical rationality of the prediction result, but also improves the precision and generalization ability, and is suitable for intelligent regulation and control of the rice drying process.

The invention belongs to the technical field of agriculture, and particularly relates to a method for promoting rice field carbon sequestration and emission reduction and improving the rice yield through deep soil air injection and oxygenation. According to the method provided by the invention, aiming at paddy field cultivation and tillage environment, paddy field methane emission characteristics and paddy field organic carbon library management design, a soil deep gas injection device is combined with paddy field production management, and soil oxygen content is increased to a corresponding threshold range through soil deep gas injection in combination with a soil organic carbon content background; the organic carbon content of rice field soil and the rice yield are increased while the methane emission of the rice field is reduced.

Aiming at the problems of low efficiency, strong subjectivity, insufficient modeling ability, complex hyperspectral data noise, weak waxiness spectrum difference and the like of a traditional rice grain waxiness discrimination method, the invention provides a hyperspectral rice grain waxiness discrimination method based on multi-branch collaborative modeling. The method comprises the following steps: S1, acquiring glutinous and non-glutinous rice grain images by using a hyperspectral imaging system to obtain spectral data; s2, preprocessing spectral data through a combined method of SG smoothing, an asymmetric weighted penalty least square method and multivariate scatter correction to reduce noise and interference; s3, constructing a multi-branch modeling architecture which comprises a CNN local feature extraction module, an SRU spectrum sequence modeling module and a HorNet global high-order modeling module, and outputting a discrimination result through a classifier after multi-branch features are subjected to fusion and pooling attention weighting; and S4, evaluating the performance. According to the method, high-precision lossless discrimination of the waxiness is realized, and a technical support is provided for germplasm screening and quality evaluation in rice breeding.

The invention relates to the technical field of plant biology, and discloses application of a transcription factor OsEPR1 as a negative regulatory factor in increasing the content of volatile metabolites in rice, and the amino acid sequence of the transcription factor OsEPR1 is shown as SEQ ID NO.41. Through overexpression of the OsEPR1 gene driven by a constitutive promoter in rice, the content of a plurality of volatile metabolites in rice grains is remarkably reduced, including but not limited to volatile metabolites in a lipoxygenase pathway; the OsEPR1 is used as a negative regulatory factor to inhibit the synthesis of a plurality of volatile metabolites including a rice lipoxygenase pathway, so that the synthesis of the plurality of volatile metabolites of the rice can be improved by knocking out the OsEPR1 gene in the rice, and the OsEPR1 gene can be applied to rice fragrance quality improvement research.

The invention relates to the technical field of gene engineering, in particular to OsSULTR3; 1 protein and the coding gene thereof are applied to cultivation of selenium-rich plants. According to the invention, the OsSULTR3 is disclosed for the first time; 1 gene has the function of increasing the selenium content of rice, and OsSULTR3; 1 overexpression results in increase of the selenium content of rice grains. A new direction is provided for breeding of selenium-rich plants such as rice and the like and preparation of transgenic plants, the selenium content in the plants such as rice and the like can be remarkably improved by constructing and transforming the transgenic plants of the gene, the nutritional quality of the plants can be improved, and the gene has a wide application prospect.

The invention relates to the technical field of soil heavy metal pollution remediation, in particular to a heavy metal cadmium pollution remediation neural network model, which comprises the following steps: S1, acquiring and preprocessing environmental factor data; s2, constructing a cadmium content prediction model: establishing an initial model structure, carrying out model training based on the preprocessed environmental factor data, calculating the contribution degree of each environmental factor in the model by utilizing an interpretability analysis method, and constructing an optimization objective function with prediction precision and model complexity by taking the environmental factor contribution degree as an interpretability constraint; performing iterative optimization on the model structure based on the optimization objective function to obtain a cadmium content prediction model; and S3, predicting the cadmium content of the rice based on the cadmium content prediction model, and optimizing agricultural measures based on a prediction result. By means of the scheme, accurate prediction and scientific explanation of the cadmium content of the rice are achieved, and the practicability of the model in farmland heavy metal cadmium pollution remediation is improved.

The invention discloses a serratia marcescens strain and an application thereof. Belongs to the technical field of agricultural microorganism and heavy metal pollution control. The serratia marcescens separated from the rhizosphere of the rice is inoculated to the rhizosphere of the rice, is used for in-situ remediation of polluted soil rice planting, can be effectively colonized at the root of the rice, and has high safety. Manganese and iron ions in the soil can be adsorbed and chelated, and the formation of an iron-manganese adhesive film on the surface of a rice root is enhanced, so that the Cd element is prevented and controlled from entering plant roots and overground parts; the absorption of manganese and iron in the polluted soil can be increased, the growth of the rice is promoted, and the yield of the rice is increased. And the standard-reaching safe production of rice Cd in the moderately and mildly polluted soil is realized, and the method has a very good application prospect.

The invention discloses a grain specific promoter in the early stage of rice filling and application thereof, the promoter is named as proASP1, and the nucleotide sequence of the promoter is shown as SEQ ID NO: 1. The promoter has highly strict spatio-temporal expression specificity, the activation expression of the promoter is only limited in grains in the early stage of rice filling (4-12 days after flowering), especially the expression of genes is efficiently driven in endosperm and aleurone layers, and the expression is not leaked in other tissues such as roots, stems, leaves, leaf sheaths and glumes and grains in the middle and later stages of filling. The invention provides a basic and precious molecular tool for gene function research, quality improvement (such as protein and starch synthesis regulation) and bioreactor development in a key window period of rice grain development, and has important scientific research and application values.

The invention belongs to the field of rice cultivation, and particularly relates to a group of marker genes for identifying a rice grain filling process and application thereof. The marker gene screened by the invention is expressed in a monotonically increasing or decreasing manner during the rice grain filling period, and can be used as the marker gene to accurately reflect the time progress of rice grain filling. By detecting the expression level of the marker genes, the rice grain filling process can be identified in a molecular manner, and the duration of the rice grain filling process can be determined.

The invention belongs to the field of fertilizers, and particularly relates to a foliar fertilizer with high amino acid synthesis efficiency and a preparation method thereof.The preparation method comprises the steps that spermidine is taken to be subjected to formic acid esterification modification, and formic acid esterification spermidine is obtained; the preparation method comprises the following steps: hydrolyzing 2, 4-epibrassinolide to obtain carboxylated brassinolide; under the action of Tween, carboxylated brassinolide and formic acid esterified spermidine are combined to form a fertilizer base full of emulsified liquid drops; and adding other nutrients to obtain the foliar fertilizer. The leaf fertilizer for increasing the amino acid content of rice can increase the content of amino acids, especially lysine, in grains on the premise of increasing the yield of rice, and nitrogen absorption and utilization of the rice grains are improved.

The invention relates to a gene GL8 for controlling grain shape, appearance quality or / and yield of rice. The gene has (a) a nucleotide sequence as shown in SEQ ID No: 1; and (b) a nucleotide sequence which is generated by adding, substituting or deleting one or more basic groups from the nucleotide sequence as shown in SEQ ID No: 1 and is used for coding a functional protein for controlling the grain shape, the appearance quality and the yield of rice. The invention belongs to the technical field of gene engineering. By overexpressing the gene, the grain shape, appearance quality and yield of rice can be regulated and controlled.

The invention relates to the technical field of intelligent sorting, in particular to a full-automatic rice impurity removing method and device based on machine recognition, and the method comprises the following steps: extracting rice particle reflection intensity and analyzing a boundary trajectory, screening a mutation region to generate a recognition section, judging the consistency of recognition quality and weight error directions, and generating an error sample set. And performing statistics on disturbance frequency to generate a deformation mark, comparing numbers, extracting coordinates to generate a list, calculating a response difference, and outputting a rejection identification sequence. According to the invention, through comparison of reflection boundary trajectory abrupt change, focusing of a spectrum abnormal section, improvement of particle difference positioning precision, combination of consistency judgment of image identification errors and weight deviation, enhancement of abnormal particle screening accuracy, tracking of contour disturbance frequency identification of deformation behaviors, and enhancement of dynamic feature identification, the accuracy of abnormal particle identification is improved. An operation target is positioned based on multi-source feature intersection, orbital offset and air injection response time sequence calibration are combined, it is guaranteed that removal actions are coordinated and consistent, and efficient recognition and accurate removal of the mixed rice particles are achieved.

The invention discloses a milling process control method based on reinforcement learning, which comprises the following steps: collecting and processing multi-source process data in real time, normalizing and extracting features, and forming state feature vectors; the state feature vectors are input into a DSAC-T reinforcement learning controller, the opening degree of a feeding valve and the rotation speed adjustment of a main shaft are used as action spaces, a reinforcement learning strategy network is constructed, and a process drift online detection sub-module is integrated; training a controller to maximize the rice yield, minimize the broken rice rate and energy consumption, and combining the process safety index to obtain an optimal strategy; deploying the trained controller in an actual scene, and outputting an adjustment instruction to implement closed-loop control; when the actual rice grain size or broken rice rate exceeds the model prediction deviation, online incremental learning is automatically triggered, and control parameters are optimized; the intelligent, self-adaptive and safe control of the rice milling process is realized. According to the method, adaptive optimization control of the rice milling process is realized, and the method has efficient response capability to dynamic disturbance and abnormal states.

The invention relates to the field of plant genetic engineering, in particular to a rice OsDNG1 protein, a coding gene and application of the rice OsDNG1 protein to regulation and control of grain shape and grain weight. According to the invention, the OsDNG1 gene is knocked out through a CRISPR / Cas9 gene editing technology, so that the length of rice grains can be increased by 4.10%-4.62%, and the thousand grain weight can be increased by 10.86%-11.49%. And if the gene is over-expressed, the grain length is reduced by 1.14%-1.32%, and the thousand grain weight is reduced by 8.24%-8.56%. In the re-sequenced indica rice variety, the indica rice variety without the OsDNG1 gene type is longer in grain length and larger in length-width ratio compared with the variety with the gene type. The invention not only provides a key target for analyzing the molecular mechanism of rice grain morphogenesis, but also provides important theoretical basis and technical support for molecular design breeding of rice grain shape and grain weight, and has remarkable agricultural application value.

The invention discloses an application of a rice yellow-like stripe protein gene OsYSL18. The sequence of the yellow-like stripe protein gene OsYSL18 is as shown in SEQ ID NO. 1. The gene can be applied in multiple aspects of preventing and controlling the cadmium element from being transferred to the overground part of the rice, reducing the cadmium content of rice grains and the like. The biological function of the yellow stripe-like protein gene OsYSL18 in rice is found through a large number of experiments, and after the gene is knocked out, the cadmium content of the overground part of a rice seedling subjected to cadmium treatment is remarkably reduced; after the rice is mature, the grain cadmium content is reduced by more than 85%.

The invention provides a primer group for auxiliary selection of a high-grain-weight rice variety and application of the primer group, and relates to the technical field of plant genetic engineering. The primer group comprises a primer F1, a primer R1, a primer F2, a primer R2, a primer F3 and a primer R3, wherein the nucleotide sequences of the primers F1, R1, F2, R2, F3 and R3 are respectively shown as SEQ IN NO.1-SEQ IN NO.6; the correlation between the OsMADS18 and the rice grain weight is found for the first time, the OsMADS18 has double copies in rice with high thousand grain weight, three pairs of PCR primers are developed accordingly, the thousand grain weight of sample rice is judged according to the number of bands of PCR amplification products, and the method is easy and convenient to operate, visual in detection result, short in time consumption and capable of remarkably accelerating the rice breeding process.